Tourism quality assessment in Poyang Lake ecological, economic region

Author(s):  
Yuan Liu ◽  
Mo Liu ◽  
Chaozhi Zhu
2013 ◽  
Vol 664 ◽  
pp. 146-151
Author(s):  
Gong Jun Guo ◽  
You Yuan Wang ◽  
Lin Yu Zheng

The quantitative index was confirmed by analysis of system of energy-saving and emission-reduction for Poyang Lake Ecological Economic Region (PLEER). Two factors of energy-saving and emission-reduction can be obtained by analyzing the quantitative index. The quantitative index was divided into two controllable factors according to the variance contribution rate and rotating load value. Countermeasures should be given after we point out the key of energy-saving and emission-reduction according to the controllable factors.


2011 ◽  
Vol 181-182 ◽  
pp. 118-123
Author(s):  
Hai Tao Su ◽  
Hai Qing Guo ◽  
Jin Feng Hu ◽  
Hui Zeng

The eco-efficiency and sustainable development have become the focus of world and the issues to be resolved urgently. In this paper, the recent research status of eco-economic region of Poyang Lake in China is analyzed, and the multi-level evaluation index system of eco-efficiency of Poyang Lake is constructed. The minimum input and maximum output method based on DEA(Data Envelopment Analysis) is proposed, the mathematical model of validity evaluation of eco-economic region of Poyang Lake is set up and programmed by MATLAB. Efficiency evaluation of a complex system with the cases from nine districts of Poyang Lake region in China is realized, which is more than one homogeneous decision-making unit of multi-input and multi-output. The MDEA (Modified DEA) method resolves the problems of ranking DEA efficient units of Poyang Lake, The DEAP2.1 software differentiates the technical efficiency and scale efficiency of eco-economic region of Poyang Lake, and adjusts the DEA inefficient units to become technical efficiency. The model can be used to analyze efficiency and diagnose different units at the same time or same unit at different time. It can be more accurate and convenient for the management process of eco-economic region of Poyang Lake and the similar eco-economic region.


2012 ◽  
Vol 518-523 ◽  
pp. 5257-5260 ◽  
Author(s):  
Ying Lian Wang ◽  
Jun Yao Ye

Poyang Lake Ecological Economic Zone has large forest area, so it's very important to construct prevention forest fire disaster system. This paper presents an algorithm for prevention forest fire disaster based on digital image processing technology. The algorithm distinguishes the realtime forest video by smoke and fire. To determine whether there are some suspicious area in the image in the spatial domain by judging the color properties of smoke and fire through Clustering Algorithm. If it detects any suspicious circumstances, then fixes ccd and detects the suspicious areas in the time domain. In this step, firstly get the initial detect results by wavelet decomposition , then use the k-means clustering algorithm for the spread detection of smoke. Experimental results show that the algorithm is ideal for the experimental video. It alarms before the fire disaster occurs to avoid major fire disaster, which protects the forest resources in the Poyang Lake Ecological Economic Zone.


2013 ◽  
Vol 726-731 ◽  
pp. 3976-3980
Author(s):  
Chuan Kui Liu ◽  
You Yuan Wang

It is a very important problem that economic and environmental coordinated development in PLEEZ. This paper found economic and environmental systems, a quantitative method was proposed which systemic coordinated evaluation based on the principal component analysis and system index of sustainable development for PLEEZ, the conclusions provide a useful reference to economic development and environmental protection coordination of PLEEZ.


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